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针对pulse-transit的工具

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dist/client/pandas/tests/indexes/timedeltas/test_indexing.py vendored Normal file
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from datetime import (
datetime,
timedelta,
)
import re
import numpy as np
import pytest
from pandas import (
Index,
NaT,
Timedelta,
TimedeltaIndex,
Timestamp,
notna,
timedelta_range,
to_timedelta,
)
import pandas._testing as tm
class TestGetItem:
def test_getitem_slice_keeps_name(self):
# GH#4226
tdi = timedelta_range("1d", "5d", freq="H", name="timebucket")
assert tdi[1:].name == tdi.name
def test_getitem(self):
idx1 = timedelta_range("1 day", "31 day", freq="D", name="idx")
for idx in [idx1]:
result = idx[0]
assert result == Timedelta("1 day")
result = idx[0:5]
expected = timedelta_range("1 day", "5 day", freq="D", name="idx")
tm.assert_index_equal(result, expected)
assert result.freq == expected.freq
result = idx[0:10:2]
expected = timedelta_range("1 day", "9 day", freq="2D", name="idx")
tm.assert_index_equal(result, expected)
assert result.freq == expected.freq
result = idx[-20:-5:3]
expected = timedelta_range("12 day", "24 day", freq="3D", name="idx")
tm.assert_index_equal(result, expected)
assert result.freq == expected.freq
result = idx[4::-1]
expected = TimedeltaIndex(
["5 day", "4 day", "3 day", "2 day", "1 day"], freq="-1D", name="idx"
)
tm.assert_index_equal(result, expected)
assert result.freq == expected.freq
@pytest.mark.parametrize(
"key",
[
Timestamp("1970-01-01"),
Timestamp("1970-01-02"),
datetime(1970, 1, 1),
Timestamp("1970-01-03").to_datetime64(),
# non-matching NA values
np.datetime64("NaT"),
],
)
def test_timestamp_invalid_key(self, key):
# GH#20464
tdi = timedelta_range(0, periods=10)
with pytest.raises(KeyError, match=re.escape(repr(key))):
tdi.get_loc(key)
class TestGetLoc:
@pytest.mark.filterwarnings("ignore:Passing method:FutureWarning")
def test_get_loc(self):
idx = to_timedelta(["0 days", "1 days", "2 days"])
for method in [None, "pad", "backfill", "nearest"]:
assert idx.get_loc(idx[1], method) == 1
assert idx.get_loc(idx[1].to_pytimedelta(), method) == 1
assert idx.get_loc(str(idx[1]), method) == 1
assert idx.get_loc(idx[1], "pad", tolerance=Timedelta(0)) == 1
assert idx.get_loc(idx[1], "pad", tolerance=np.timedelta64(0, "s")) == 1
assert idx.get_loc(idx[1], "pad", tolerance=timedelta(0)) == 1
with pytest.raises(ValueError, match="unit abbreviation w/o a number"):
idx.get_loc(idx[1], method="nearest", tolerance="foo")
with pytest.raises(ValueError, match="tolerance size must match"):
idx.get_loc(
idx[1],
method="nearest",
tolerance=[
Timedelta(0).to_timedelta64(),
Timedelta(0).to_timedelta64(),
],
)
for method, loc in [("pad", 1), ("backfill", 2), ("nearest", 1)]:
assert idx.get_loc("1 day 1 hour", method) == loc
# GH 16909
assert idx.get_loc(idx[1].to_timedelta64()) == 1
# GH 16896
assert idx.get_loc("0 days") == 0
def test_get_loc_nat(self):
tidx = TimedeltaIndex(["1 days 01:00:00", "NaT", "2 days 01:00:00"])
assert tidx.get_loc(NaT) == 1
assert tidx.get_loc(None) == 1
assert tidx.get_loc(float("nan")) == 1
assert tidx.get_loc(np.nan) == 1
class TestGetIndexer:
def test_get_indexer(self):
idx = to_timedelta(["0 days", "1 days", "2 days"])
tm.assert_numpy_array_equal(
idx.get_indexer(idx), np.array([0, 1, 2], dtype=np.intp)
)
target = to_timedelta(["-1 hour", "12 hours", "1 day 1 hour"])
tm.assert_numpy_array_equal(
idx.get_indexer(target, "pad"), np.array([-1, 0, 1], dtype=np.intp)
)
tm.assert_numpy_array_equal(
idx.get_indexer(target, "backfill"), np.array([0, 1, 2], dtype=np.intp)
)
tm.assert_numpy_array_equal(
idx.get_indexer(target, "nearest"), np.array([0, 1, 1], dtype=np.intp)
)
res = idx.get_indexer(target, "nearest", tolerance=Timedelta("1 hour"))
tm.assert_numpy_array_equal(res, np.array([0, -1, 1], dtype=np.intp))
class TestWhere:
def test_where_doesnt_retain_freq(self):
tdi = timedelta_range("1 day", periods=3, freq="D", name="idx")
cond = [True, True, False]
expected = TimedeltaIndex([tdi[0], tdi[1], tdi[0]], freq=None, name="idx")
result = tdi.where(cond, tdi[::-1])
tm.assert_index_equal(result, expected)
def test_where_invalid_dtypes(self, fixed_now_ts):
tdi = timedelta_range("1 day", periods=3, freq="D", name="idx")
tail = tdi[2:].tolist()
i2 = Index([NaT, NaT] + tail)
mask = notna(i2)
expected = Index([NaT.value, NaT.value] + tail, dtype=object, name="idx")
assert isinstance(expected[0], int)
result = tdi.where(mask, i2.asi8)
tm.assert_index_equal(result, expected)
ts = i2 + fixed_now_ts
expected = Index([ts[0], ts[1]] + tail, dtype=object, name="idx")
result = tdi.where(mask, ts)
tm.assert_index_equal(result, expected)
per = (i2 + fixed_now_ts).to_period("D")
expected = Index([per[0], per[1]] + tail, dtype=object, name="idx")
result = tdi.where(mask, per)
tm.assert_index_equal(result, expected)
ts = fixed_now_ts
expected = Index([ts, ts] + tail, dtype=object, name="idx")
result = tdi.where(mask, ts)
tm.assert_index_equal(result, expected)
def test_where_mismatched_nat(self):
tdi = timedelta_range("1 day", periods=3, freq="D", name="idx")
cond = np.array([True, False, False])
dtnat = np.datetime64("NaT", "ns")
expected = Index([tdi[0], dtnat, dtnat], dtype=object, name="idx")
assert expected[2] is dtnat
result = tdi.where(cond, dtnat)
tm.assert_index_equal(result, expected)
class TestTake:
def test_take(self):
# GH 10295
idx1 = timedelta_range("1 day", "31 day", freq="D", name="idx")
for idx in [idx1]:
result = idx.take([0])
assert result == Timedelta("1 day")
result = idx.take([-1])
assert result == Timedelta("31 day")
result = idx.take([0, 1, 2])
expected = timedelta_range("1 day", "3 day", freq="D", name="idx")
tm.assert_index_equal(result, expected)
assert result.freq == expected.freq
result = idx.take([0, 2, 4])
expected = timedelta_range("1 day", "5 day", freq="2D", name="idx")
tm.assert_index_equal(result, expected)
assert result.freq == expected.freq
result = idx.take([7, 4, 1])
expected = timedelta_range("8 day", "2 day", freq="-3D", name="idx")
tm.assert_index_equal(result, expected)
assert result.freq == expected.freq
result = idx.take([3, 2, 5])
expected = TimedeltaIndex(["4 day", "3 day", "6 day"], name="idx")
tm.assert_index_equal(result, expected)
assert result.freq is None
result = idx.take([-3, 2, 5])
expected = TimedeltaIndex(["29 day", "3 day", "6 day"], name="idx")
tm.assert_index_equal(result, expected)
assert result.freq is None
def test_take_invalid_kwargs(self):
idx = timedelta_range("1 day", "31 day", freq="D", name="idx")
indices = [1, 6, 5, 9, 10, 13, 15, 3]
msg = r"take\(\) got an unexpected keyword argument 'foo'"
with pytest.raises(TypeError, match=msg):
idx.take(indices, foo=2)
msg = "the 'out' parameter is not supported"
with pytest.raises(ValueError, match=msg):
idx.take(indices, out=indices)
msg = "the 'mode' parameter is not supported"
with pytest.raises(ValueError, match=msg):
idx.take(indices, mode="clip")
def test_take_equiv_getitem(self):
tds = ["1day 02:00:00", "1 day 04:00:00", "1 day 10:00:00"]
idx = timedelta_range(start="1d", end="2d", freq="H", name="idx")
expected = TimedeltaIndex(tds, freq=None, name="idx")
taken1 = idx.take([2, 4, 10])
taken2 = idx[[2, 4, 10]]
for taken in [taken1, taken2]:
tm.assert_index_equal(taken, expected)
assert isinstance(taken, TimedeltaIndex)
assert taken.freq is None
assert taken.name == expected.name
def test_take_fill_value(self):
# GH 12631
idx = TimedeltaIndex(["1 days", "2 days", "3 days"], name="xxx")
result = idx.take(np.array([1, 0, -1]))
expected = TimedeltaIndex(["2 days", "1 days", "3 days"], name="xxx")
tm.assert_index_equal(result, expected)
# fill_value
result = idx.take(np.array([1, 0, -1]), fill_value=True)
expected = TimedeltaIndex(["2 days", "1 days", "NaT"], name="xxx")
tm.assert_index_equal(result, expected)
# allow_fill=False
result = idx.take(np.array([1, 0, -1]), allow_fill=False, fill_value=True)
expected = TimedeltaIndex(["2 days", "1 days", "3 days"], name="xxx")
tm.assert_index_equal(result, expected)
msg = (
"When allow_fill=True and fill_value is not None, "
"all indices must be >= -1"
)
with pytest.raises(ValueError, match=msg):
idx.take(np.array([1, 0, -2]), fill_value=True)
with pytest.raises(ValueError, match=msg):
idx.take(np.array([1, 0, -5]), fill_value=True)
msg = "index -5 is out of bounds for (axis 0 with )?size 3"
with pytest.raises(IndexError, match=msg):
idx.take(np.array([1, -5]))
class TestMaybeCastSliceBound:
@pytest.fixture(params=["increasing", "decreasing", None])
def monotonic(self, request):
return request.param
@pytest.fixture
def tdi(self, monotonic):
tdi = timedelta_range("1 Day", periods=10)
if monotonic == "decreasing":
tdi = tdi[::-1]
elif monotonic is None:
taker = np.arange(10, dtype=np.intp)
np.random.shuffle(taker)
tdi = tdi.take(taker)
return tdi
def test_maybe_cast_slice_bound_invalid_str(self, tdi):
# test the low-level _maybe_cast_slice_bound and that we get the
# expected exception+message all the way up the stack
msg = (
"cannot do slice indexing on TimedeltaIndex with these "
r"indexers \[foo\] of type str"
)
with pytest.raises(TypeError, match=msg):
tdi._maybe_cast_slice_bound("foo", side="left")
with pytest.raises(TypeError, match=msg):
tdi.get_slice_bound("foo", side="left")
with pytest.raises(TypeError, match=msg):
tdi.slice_locs("foo", None, None)
def test_slice_invalid_str_with_timedeltaindex(
self, tdi, frame_or_series, indexer_sl
):
obj = frame_or_series(range(10), index=tdi)
msg = (
"cannot do slice indexing on TimedeltaIndex with these "
r"indexers \[foo\] of type str"
)
with pytest.raises(TypeError, match=msg):
indexer_sl(obj)["foo":]
with pytest.raises(TypeError, match=msg):
indexer_sl(obj)["foo":-1]
with pytest.raises(TypeError, match=msg):
indexer_sl(obj)[:"foo"]
with pytest.raises(TypeError, match=msg):
indexer_sl(obj)[tdi[0] : "foo"]
class TestContains:
def test_contains_nonunique(self):
# GH#9512
for vals in (
[0, 1, 0],
[0, 0, -1],
[0, -1, -1],
["00:01:00", "00:01:00", "00:02:00"],
["00:01:00", "00:01:00", "00:00:01"],
):
idx = TimedeltaIndex(vals)
assert idx[0] in idx